release v4.5.0 (#6538)

.appveyor.yml

-version: 4.4.0.99.{build}
+version: 4.5.0.{build}
 
 image: Visual Studio 2015
 platform: x64

R-package/configure

 #! /bin/sh
 # Guess values for system-dependent variables and create Makefiles.
-# Generated by GNU Autoconf 2.71 for lightgbm 4.4.0.99.
+# Generated by GNU Autoconf 2.71 for lightgbm 4.5.0.
 #
 #
 # Copyright (C) 1992-1996, 1998-2017, 2020-2021 Free Software Foundation,
@@ -607,8 +607,8 @@ MAKEFLAGS=
 # Identity of this package.
 PACKAGE_NAME='lightgbm'
 PACKAGE_TARNAME='lightgbm'
-PACKAGE_VERSION='4.4.0.99'
-PACKAGE_STRING='lightgbm 4.4.0.99'
+PACKAGE_VERSION='4.5.0'
+PACKAGE_STRING='lightgbm 4.5.0'
 PACKAGE_BUGREPORT=''
 PACKAGE_URL=''
 
@@ -1211,7 +1211,7 @@ if test "$ac_init_help" = "long"; then
   # Omit some internal or obsolete options to make the list less imposing.
   # This message is too long to be a string in the A/UX 3.1 sh.
   cat <<_ACEOF
-\`configure' configures lightgbm 4.4.0.99 to adapt to many kinds of systems.
+\`configure' configures lightgbm 4.5.0 to adapt to many kinds of systems.
 
 Usage: $0 [OPTION]... [VAR=VALUE]...
 
@@ -1273,7 +1273,7 @@ fi
 
 if test -n "$ac_init_help"; then
   case $ac_init_help in
-     short | recursive ) echo "Configuration of lightgbm 4.4.0.99:";;
+     short | recursive ) echo "Configuration of lightgbm 4.5.0:";;
    esac
   cat <<\_ACEOF
 
@@ -1341,7 +1341,7 @@ fi
 test -n "$ac_init_help" && exit $ac_status
 if $ac_init_version; then
   cat <<\_ACEOF
-lightgbm configure 4.4.0.99
+lightgbm configure 4.5.0
 generated by GNU Autoconf 2.71
 
 Copyright (C) 2021 Free Software Foundation, Inc.
@@ -1378,7 +1378,7 @@ cat >config.log <<_ACEOF
 This file contains any messages produced by compilers while
 running configure, to aid debugging if configure makes a mistake.
 
-It was created by lightgbm $as_me 4.4.0.99, which was
+It was created by lightgbm $as_me 4.5.0, which was
 generated by GNU Autoconf 2.71.  Invocation command line was
 
   $ $0$ac_configure_args_raw
@@ -2454,7 +2454,7 @@ cat >>$CONFIG_STATUS <<\_ACEOF || ac_write_fail=1
 # report actual input values of CONFIG_FILES etc. instead of their
 # values after options handling.
 ac_log="
-This file was extended by lightgbm $as_me 4.4.0.99, which was
+This file was extended by lightgbm $as_me 4.5.0, which was
 generated by GNU Autoconf 2.71.  Invocation command line was
 
   CONFIG_FILES    = $CONFIG_FILES
@@ -2509,7 +2509,7 @@ ac_cs_config_escaped=`printf "%s\n" "$ac_cs_config" | sed "s/^ //; s/'/'\\\\\\\\
 cat >>$CONFIG_STATUS <<_ACEOF || ac_write_fail=1
 ac_cs_config='$ac_cs_config_escaped'
 ac_cs_version="\\
-lightgbm config.status 4.4.0.99
+lightgbm config.status 4.5.0
 configured by $0, generated by GNU Autoconf 2.71,
   with options \\"\$ac_cs_config\\"
 

R-package/cran-comments.md

 # CRAN Submission History
 
+## v4.5.0 - Submission 1 - (TBD)
+
+### CRAN response
+
+TBD
+
+### Maintainer Notes
+
+This release was a response to a request from CRAN.
+On July 4, 2024, CRAN notified us that the following compiler warnings raised by `gcc` 14 needed to be fixed by August 3, 2024.
+
+```text
+Result: WARN
+  Found the following significant warnings:
+    io/dense_bin.hpp:617:27: warning: template-id not allowed for constructor in C++20 [-Wtemplate-id-cdtor]
+    io/multi_val_dense_bin.hpp:346:26: warning: template-id not allowed for constructor in C++20 [-Wtemplate-id-cdtor]
+    io/multi_val_sparse_bin.hpp:433:36: warning: template-id not allowed for constructor in C++20 [-Wtemplate-id-cdtor]
+    io/sparse_bin.hpp:785:19: warning: template-id not allowed for constructor in C++20 [-Wtemplate-id-cdtor]
+  See ‘/data/gannet/ripley/R/packages/tests-devel/lightgbm.Rcheck/00install.out’ for details.
+```
+
+This release contains fixes for those issues.
+
 ## v4.4.0 - Submission 1 - (June 14, 2024)
 
 ### CRAN response

R-package/pkgdown/_pkgdown.yml

@@ -14,7 +14,7 @@ repo:
     user: https://github.com/
 
 development:
-  mode: unreleased
+  mode: release
 
 authors:
   Yu Shi:

VERSION.txt

-4.4.0.99
+4.5.0

docs/Parameters.rst

@@ -149,7 +149,7 @@ Core Parameters
 
    -  ``goss``, Gradient-based One-Side Sampling
 
-   -  *New in 4.0.0*
+   -  *New in version 4.0.0*
 
 -  ``data`` :raw-html:`<a id="data" title="Permalink to this parameter" href="#data">&#x1F517;&#xFE0E;</a>`, default = ``""``, type = string, aliases: ``train``, ``train_data``, ``train_data_file``, ``data_filename``
 
@@ -414,7 +414,7 @@ Learning Control Parameters
 
    -  when early stopping is used (i.e. ``early_stopping_round > 0``), require the early stopping metric to improve by at least this delta to be considered an improvement
 
-   -  *New in 4.4.0*
+   -  *New in version 4.4.0*
 
 -  ``first_metric_only`` :raw-html:`<a id="first_metric_only" title="Permalink to this parameter" href="#first_metric_only">&#x1F517;&#xFE0E;</a>`, default = ``false``, type = bool
 
@@ -692,7 +692,7 @@ Learning Control Parameters
 
    -  **Note**: can be used only with ``device_type = cpu`` and ``device_type=cuda``
 
-   -  *New in 4.0.0*
+   -  *New in version 4.0.0*
 
 -  ``quant_train_renew_leaf`` :raw-html:`<a id="quant_train_renew_leaf" title="Permalink to this parameter" href="#quant_train_renew_leaf">&#x1F517;&#xFE0E;</a>`, default = ``false``, type = bool
 
@@ -702,7 +702,7 @@ Learning Control Parameters
 
    -  **Note**: can be used only with ``device_type = cpu`` and ``device_type=cuda``
 
-   -  *New in 4.0.0*
+   -  *New in version 4.0.0*
 
 -  ``stochastic_rounding`` :raw-html:`<a id="stochastic_rounding" title="Permalink to this parameter" href="#stochastic_rounding">&#x1F517;&#xFE0E;</a>`, default = ``true``, type = bool
 
@@ -710,7 +710,7 @@ Learning Control Parameters
 
    -  **Note**: can be used only with ``device_type = cpu`` and ``device_type=cuda``
 
-   -  *New in 4.0.0*
+   -  *New in version 4.0.0*
 
 IO Parameters
 -------------
@@ -930,7 +930,7 @@ Dataset Parameters
 
    -  **Note**: ``lightgbm-transform`` is not maintained by LightGBM's maintainers. Bug reports or feature requests should go to `issues page <https://github.com/microsoft/lightgbm-transform/issues>`__
 
-   -  *New in 4.0.0*
+   -  *New in version 4.0.0*
 
 Predict Parameters
 ~~~~~~~~~~~~~~~~~~

include/LightGBM/config.h

@@ -181,7 +181,7 @@ struct Config {
   // desc = ``bagging``, Randomly Bagging Sampling
   // descl2 = **Note**: ``bagging`` is only effective when ``bagging_freq > 0`` and ``bagging_fraction < 1.0``
   // desc = ``goss``, Gradient-based One-Side Sampling
-  // desc = *New in 4.0.0*
+  // desc = *New in version 4.0.0*
   std::string data_sample_strategy = "bagging";
 
   // alias = train, train_data, train_data_file, data_filename
@@ -396,7 +396,7 @@ struct Config {
 
   // check = >=0.0
   // desc = when early stopping is used (i.e. ``early_stopping_round > 0``), require the early stopping metric to improve by at least this delta to be considered an improvement
-  // desc = *New in 4.4.0*
+  // desc = *New in version 4.4.0*
   double early_stopping_min_delta = 0.0;
 
   // desc = LightGBM allows you to provide multiple evaluation metrics. Set this to ``true``, if you want to use only the first metric for early stopping
@@ -626,18 +626,18 @@ struct Config {
   // desc = number of bins to quantization gradients and hessians
   // desc = with more bins, the quantized training will be closer to full precision training
   // desc = **Note**: can be used only with ``device_type = cpu`` and ``device_type=cuda``
-  // desc = *New in 4.0.0*
+  // desc = *New in version 4.0.0*
   int num_grad_quant_bins = 4;
 
   // desc = whether to renew the leaf values with original gradients when quantized training
   // desc = renewing is very helpful for good quantized training accuracy for ranking objectives
   // desc = **Note**: can be used only with ``device_type = cpu`` and ``device_type=cuda``
-  // desc = *New in 4.0.0*
+  // desc = *New in version 4.0.0*
   bool quant_train_renew_leaf = false;
 
   // desc = whether to use stochastic rounding in gradient quantization
   // desc = **Note**: can be used only with ``device_type = cpu`` and ``device_type=cuda``
-  // desc = *New in 4.0.0*
+  // desc = *New in version 4.0.0*
   bool stochastic_rounding = true;
 
   #ifndef __NVCC__
@@ -801,7 +801,7 @@ struct Config {
   // desc = path to a ``.json`` file that specifies customized parser initialized configuration
   // desc = see `lightgbm-transform <https://github.com/microsoft/lightgbm-transform>`__ for usage examples
   // desc = **Note**: ``lightgbm-transform`` is not maintained by LightGBM's maintainers. Bug reports or feature requests should go to `issues page <https://github.com/microsoft/lightgbm-transform/issues>`__
-  // desc = *New in 4.0.0*
+  // desc = *New in version 4.0.0*
   std::string parser_config_file = "";
 
   #ifndef __NVCC__

python-package/lightgbm/sklearn.py

@@ -1157,7 +1157,10 @@ class LGBMModel(_LGBMModelBase):
 
     @property
     def feature_names_in_(self) -> np.ndarray:
-        """:obj:`array` of shape = [n_features]: scikit-learn compatible version of ``.feature_name_``."""
+        """:obj:`array` of shape = [n_features]: scikit-learn compatible version of ``.feature_name_``.
+
+        .. versionadded:: 4.5.0
+        """
         if not self.__sklearn_is_fitted__():
             raise LGBMNotFittedError("No feature_names_in_ found. Need to call fit beforehand.")
         return np.array(self.feature_name_)

python-package/pyproject.toml

@@ -30,7 +30,7 @@ maintainers = [
 name = "lightgbm"
 readme = "README.rst"
 requires-python = ">=3.7"
-version = "4.4.0.99"
+version = "4.5.0"
 
 [project.optional-dependencies]
 arrow = [